Abstract: A method for quantitative evaluation of self-sealing property of organic-rich shale includes: S1, selecting geological parameters for evaluating the self-sealing property of the organic-rich shale; S2, taking organic-rich shale samples, and measuring the geological parameters of each sample; S3, calculating a weight coefficient w; of each geological parameter; S4, calculating a self-sealing evaluation coefficient S, and correcting the S to obtain a corrected self-sealing evaluation coefficient S?; S5, establishing a self-sealing evaluation standard of the organic-rich shale according to the S?, wherein if S??0.6, the self-sealing grade is excellent, if 0.45?S?<0.6, the self-sealing grade is good, if 0.3?S?<0.45, the self-sealing grade is medium, and if S?<0.3, the self-sealing grade is poor. According to the method, the self-sealing property of the shale is quantitatively evaluated, and the preservation condition of the shale gas in the shale formation can be more accurately predicted.

Abstract: A quantitative identification method for provenance of clastic rocks is provided, which includes: determining a study area, a target horizon of the study area and potential provenances of the target horizon, and performing sampling on known wells of the target horizon and the potential provenances to obtain rock samples; measuring contents of light minerals, heavy minerals, and trace elements to obtain measurement results of the known wells and measurement results of the potential provenances, establishing standard fuzzy sets based on the measurement results of the potential provenances, and establishing to-be-identified fuzzy sets based on the measurement results of the known wells; assigning weight coefficients to three indicators; calculating weighted closenesses between the to-be-identified fuzzy sets and the standard fuzzy sets according to the weight coefficients; and determining a provenance of the target horizon according to the weighted closenesses and a principle of proximity selection.

Abstract: A calculation method for fractal dimensions of shale pores includes steps as follows. S1: multiple shale samples from a target stratum of a study area are obtained, parameter values of geological parameters of each of the multiple shale samples are obtained, followed by dividing the multiple shale samples into target shale samples and experimental shale samples. S2: PCA is performed on the parameter values to obtain principal components representing a variation of the geological parameters. fractal dimensions are calculated based on an existing fractal dimension calculation method. S3: the principal components are used as independent variables and the fractal dimensions are used as dependent variables, followed by performing regression analysis to obtain a quantitative calculation model. S4: the fractal dimensions of the target shale sample are calculated according to the parameter values and the quantitative calculation model for the fractal dimension based on the parameter values.